| Date | Journal Name | Title | Author(s) in SCRI |
|---|---|---|---|
| 2023 | Transportation Research Part D: Transport and Environment | Time for hydrogen buses? Dynamic analysis of the Hong Kong bus market. | Prof. Chen Anthony (CEE), Dr Zhuge Chengxiang (LSGI) |
| 2023 | Transportation Research Part D: Transport and Environment | Electrification of a citywide bus network: A data-driven micro-simulation approach. | Prof. Chen Anthony (CEE), Dr Zhuge Chengxiang (LSGI) |
| 2023 | Transportation Research Part D: Transport and Environment | Short-term electric vehicle battery swapping demand prediction: Deep learning methods | Prof. Chen Anthony (CEE), Dr Zhuge Chengxiang (LSGI) |
| 2022 | Ecological Informatics | Monitoring the spatiotemporal change of Dongting Lake wetland by integrating Landsat and MODIS images, from 2001 to 2020. | Prof. John Shi (LSGI) |
| 2022 | Environment and Planning B: Urban Analytics and City Science | Predicting onset risk of COVID-19 symptom to support healthy travel route planning in the new normal of long-term coexistence with SARS-CoV-2. | Prof. John Shi (LSGI), Dr Zhang Anshu (LSGI) |
| 2022 | Frontiers in Public Health | Understanding spatiotemporal symptom onset risk of Omicron BA. 1, BA. 2 and hamster-related Delta AY. 127. | Prof. John Shi (LSGI), Dr Gilman Siu (HTI), Dr Zhang Anshu (LSGI) |
| 2022 | Frontiers in Public Health | How to control the spatiotemporal spread of Omicron in the region with low vaccination rates. | Prof. John Shi (LSGI), Dr Zhang Anshu (LSGI) |
| 2022 | GeoHealth | Estimation of On‐Road PM2. 5 Distributions by Combining Satellite Top‐of‐Atmosphere With Microscale Geographic Predictors for Healthy Route Planning. | Prof. John Shi (LSGI), Dr Zhang Anshu (LSGI) |
| 2022 | IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) | Digital Twin-Assisted Lane-changing and Variable Speed Limit Control for Weaving Segments. | Dr Ivan Ho (EIE) |
| 2022 | International Journal of Applied Earth Observation and Geoinformation | IDA-Net: Intensity-distribution aware networks for semantic segmentation of 3D MLS point clouds in indoor corridor environments. | Prof. John Shi (LSGI) |
Research Publication
您的瀏覽器不是最新版本。如果繼續瀏覽本網站，部分頁面未必能夠正常運作。
建議您更新至最新版本或選用其他瀏覽器。您可以按此連結查看其他相容的瀏覽器。
